Yazar "Kilincer, Abidin" seçeneğine göre listele

Listeleniyor 1 - 2 / 2
  • Küçük Resim Yok
    Öğe
    Clinical and Laboratory Characteristics of COVID-19 Cases Followed in Selcuk University Faculty of Medicine
    (Doc Design Informatics Co Ltd, 2020) Sumer, Sua; Ural, Onur; Aktug-Demir, Nazlim; Cifci, Seyma; Turkseven, Burcu; Kilincer, Abidin; Turk-Dagi, Hatice
    Objective: Understanding the natural course of COVID-19 and determining its clinical findings are essential for early diagnosis and treatment. In this study, we aimed to investigate clinical and laboratory characteristics of cases followed with a diagnosis of COVID-19 in Selcuk University Faculty of Medicine Department of Infectious Diseases and Clinical Microbiology. Methods: Among patients followed with a diagnosis of possible/definitive COVID-19, those with a positive SARS-CoV-2 RT-PCR test were evaluated retrospectively in terms of their clinical, laboratory and thorax computed tomography (CT) data. Results: Among 407 patients followed with a diagnosis of possible/definitive COVID-19, 149 (36.6%) were SARS-CoV-2 RT-PCR test-positive. 82 (55%) of the patients were female and 67 (45%) were male. Mean age was 49.3 +/- 7.6 years. 11 (7.4%) were health care workers. While the most common symptom was cough with 46.3%, fever was observed in 29.5%, sore throat in 27.5% and malaise in 26.8% of the patients. 94 (63.1%) of the patients had underlying diseases. Hypertension and diabetes mellitus were the most common underlying disease. Laboratory findings were leukopenia in 12 (8.1%), lymphopenia in 34 (22.8%), thrombocytopenia in 24 (16.1%), elevated D-dimer levels in 43 (28.9%), elevated lactate dehydrogenase levels in 73 (49%), and elevated C-reactive protein (CRP) levels in 45 (30.2%) patients. While 71 (47.6%) of the patients had normal thorax CT, 43 (28.9%) had mild pneumonia, and 35 (23.5%) moderate pneumonia. D-dimer and CRP levels were higher in those with pneumonia than those without pneumonia (p=0.001 and p=0.001, respectively). As the pneumonia level increased, the increase of D-dimer and CRP levels became evident (p=0.003 and p=0.001, respectively). Conclusions: The clinical course of COVID-19 patients varies. It is noteworthy that there is a positive correlation between the severity of pneumonia and the increase in D-dimer and CRP levels in COVID-19.
  • Küçük Resim Yok
    Öğe
    Texture analysis of multiparametric magnetic resonance imaging for differentiating clinically significant prostate cancer in the peripheral zone
    (Tubitak Scientific & Technological Research Council Turkey, 2023) Ozer, Halil; Koplay, Mustafa; Baytok, Ahmet; Seher, Nusret; Demir, Lutfi Saltuk; Kilincer, Abidin; Kaynar, Mehmet
    Background/aim: Texture analysis (TA) provides additional tissue heterogeneity data that may assist in differentiating peripheral zone (PZ) lesions in multiparametric magnetic resonance imaging (mpMRI). This study investigates the role of magnetic resonance imaging texture analysis (MRTA) in detecting clinically significant prostate cancer (csPCa) in the PZ.Materials and methods: This retrospective study included 80 consecutive patients who had an mpMRI and a prostate biopsy for sus-pected prostate cancer. Two radiologists in consensus interpreted mpMRI and performed texture analysis based on their histopathology. The first-, second-, and higher-order texture parameters were extracted from mpMRI and were compared between groups. Univariate and multivariate logistic regression analyses were performed using the texture parameters to determine the independent predictors of csPCa. Receiver operating characteristic (ROC) curve analysis was conducted to assess the diagnostic performance of the texture parameters.Results: In the periferal zone, 39 men had csPCa, while 41 had benign lesions or clinically insignificant prostate cancer (cisPCa). The majority of texture parameters showed statistically significant differences between the groups. Univariate ROC analysis showed that the ADC mean and ADC median were the best variables in differentiating csPCa (p < 0.001). The first-order logistic regression model (mean + entropy) based on the ADC maps had a higher AUC value (0.996; 95% CI: 0.989-1) than other texture-based logistic regres-sion models (p < 0.001).Conclusion: MRTA is useful in differentiating csPCa from other lesions in the PZ. Consequently, the first-order multivariate regression model based on ADC maps had the highest diagnostic performance in differentiating csPCa.